OBJECTIVE: This study aimed to provide support for the extensive application of Distress Thermometer (DT) in advanced cancer inpatients with pain and explored factors associated with high DT scores among this population. METHODS: Advanced cancer patients with pain were recruited from Department of Pain Relief in Tianjin Cancer Hospital and Institute, China. They completed the DT with problems list and HADS within 48 h after admission. The cutoff score of DT was evaluated against Hospital Anxiety and Depression Scale (HADS) for its sensitivity and specificity by using receiver operating characteristic (ROC) curves. Multiple logistic regression model analysis was performed to investigate correlates of DT scores. RESULTS: Four hundred forty one inpatients with mixed diagnoses were recruited. Referring to the cutoff of 15 on HADS, DT cutoff score of 5 yielded AUC of 0.757, with an optimal sensitivity of 0.861 and specificity of 0.531. Using the cutoff scores of greater than or equal to 5, 70.5% of the patients were distressed. Logistic regression analysis of DT found that the breakthrough pain, poorer KPS, higher pain degree, and emotional problems were the predictive factor for current distress. CONCLUSION: DT is efficacious in screening for psychological distress in advanced cancer inpatients with pain. Psychological distress is prevalent with a cutoff score of greater than or equal to five. To better identify the distressed cancer patients with pain, pain degree, performance status, and emotional problems should be considered together.
OBJECTIVE: This study aimed to provide support for the extensive application of Distress Thermometer (DT) in advanced cancer inpatients with pain and explored factors associated with high DT scores among this population. METHODS: Advanced cancerpatients with pain were recruited from Department of Pain Relief in Tianjin Cancer Hospital and Institute, China. They completed the DT with problems list and HADS within 48 h after admission. The cutoff score of DT was evaluated against Hospital Anxiety and Depression Scale (HADS) for its sensitivity and specificity by using receiver operating characteristic (ROC) curves. Multiple logistic regression model analysis was performed to investigate correlates of DT scores. RESULTS: Four hundred forty one inpatients with mixed diagnoses were recruited. Referring to the cutoff of 15 on HADS, DT cutoff score of 5 yielded AUC of 0.757, with an optimal sensitivity of 0.861 and specificity of 0.531. Using the cutoff scores of greater than or equal to 5, 70.5% of the patients were distressed. Logistic regression analysis of DT found that the breakthrough pain, poorer KPS, higher pain degree, and emotional problems were the predictive factor for current distress. CONCLUSION:DT is efficacious in screening for psychological distress in advanced cancer inpatients with pain. Psychological distress is prevalent with a cutoff score of greater than or equal to five. To better identify the distressed cancerpatients with pain, pain degree, performance status, and emotional problems should be considered together.